ParamHelpers (1.12)
Helpers for Parameters in Black-Box Optimization, Tuning and Machine Learning.
https://github.com/berndbischl/ParamHelpers
http://cran.r-project.org/web/packages/ParamHelpers
Functions for parameter descriptions and operations in black-box optimization, tuning and machine learning. Parameters can be described (type, constraints, defaults, etc.), combined to parameter sets and can in general be programmed on. A useful OptPath object (archive) to log function evaluations is also provided.
Maintainer:
Jakob Richter
Author(s): Bernd Bischl [aut], Michel Lang [aut], Jakob Richter [aut, cre], Jakob Bossek [aut], Daniel Horn [aut], Karin Schork [ctb], Pascal Kerschke [aut]
License: BSD_2_clause + file LICENSE
Uses: backports, BBmisc, checkmate, fastmatch, akima, ggplot2, lhs, plyr, testthat, GGally, emoa, gridExtra, reshape2, eaf, irace
Reverse depends: cmaesr, ecr, mlr, mlrCPO, mlrMBO, randomsearch, smoof
Reverse suggests: flacco, llama
Reverse enhances: liquidSVM
Released about 1 month ago.
13 previous versions
- ParamHelpers_1.11. Released 8 months ago.
- ParamHelpers_1.10. Released about 2 years ago.
- ParamHelpers_1.9. Released over 2 years ago.
- ParamHelpers_1.8. Released over 2 years ago.
- ParamHelpers_1.7. Released about 3 years ago.
- ParamHelpers_1.6. Released over 3 years ago.
- ParamHelpers_1.5. Released about 4 years ago.
- ParamHelpers_1.4. Released over 4 years ago.
- ParamHelpers_1.3. Released over 4 years ago.
- ParamHelpers_1.2. Released over 4 years ago.
- ParamHelpers_1.1-36. Released over 5 years ago.
- ParamHelpers_1.0-55. Released over 6 years ago.
- ParamHelpers_1.0-54. Released over 6 years ago.
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